162 citations · 509 across the 8 of their papers we have counts for
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cs.CR2022★ 87 cited
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning
Alberto Blanco-Justicia, David Sanchez, Josep Domingo-Ferrer +1
We review the use of differential privacy (DP) for privacy protection in machine learning (ML). We show that, driven by the aim of preserving the accuracy of the learned models, DP…
cs.CR2022★ 48 cited
Enhanced Security and Privacy via Fragmented Federated Learning
Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Alberto Blanco-Justicia +1
In federated learning (FL), a set of participants share updates computed on their local data with an aggregator server that combines updates into a global model. However, reconcili…